Jian‐Xiang Liu

8.2k total citations · 1 hit paper
109 papers, 6.4k citations indexed

About

Jian‐Xiang Liu is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Jian‐Xiang Liu has authored 109 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 51 papers in Plant Science and 23 papers in Cell Biology. Recurrent topics in Jian‐Xiang Liu's work include Photosynthetic Processes and Mechanisms (23 papers), Plant Molecular Biology Research (23 papers) and Plant Stress Responses and Tolerance (21 papers). Jian‐Xiang Liu is often cited by papers focused on Photosynthetic Processes and Mechanisms (23 papers), Plant Molecular Biology Research (23 papers) and Plant Stress Responses and Tolerance (21 papers). Jian‐Xiang Liu collaborates with scholars based in China, United States and United Kingdom. Jian‐Xiang Liu's co-authors include Stephen H. Howell, Renu Srivastava, Ping Che, Ze‐Ting Song, Sun‐Jie Lu, Le Sun, Ling Sun, Zhengting Yang, Mei-Jing Wang and Sabrina Humbert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Genetics.

In The Last Decade

Jian‐Xiang Liu

106 papers receiving 6.3k citations

Hit Papers

The NAT1–bHLH110–CER1/CER1L module regulates heat stress ... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jian‐Xiang Liu China 41 3.7k 3.2k 1.6k 753 493 109 6.4k
Tong Zhang China 43 2.9k 0.8× 5.5k 1.7× 631 0.4× 277 0.4× 251 0.5× 234 9.2k
David A. Jones United Kingdom 60 6.3k 1.7× 5.2k 1.6× 1.9k 1.2× 289 0.4× 268 0.5× 205 12.5k
Yoko Nishizawa Japan 48 5.6k 1.5× 4.0k 1.3× 875 0.6× 243 0.3× 519 1.1× 162 8.3k
Antonio Moretti Italy 56 6.7k 1.8× 1.2k 0.4× 4.2k 2.7× 275 0.4× 286 0.6× 224 9.4k
Jinhui Chen China 41 2.2k 0.6× 3.3k 1.0× 368 0.2× 504 0.7× 67 0.1× 227 6.8k
Karen Schlauch United States 37 4.7k 1.3× 3.4k 1.1× 228 0.1× 511 0.7× 65 0.1× 90 6.7k
Xizeng Mao United States 16 2.2k 0.6× 3.4k 1.1× 316 0.2× 180 0.2× 369 0.7× 33 6.4k
Kenji Miura Japan 44 5.4k 1.5× 5.2k 1.6× 504 0.3× 148 0.2× 321 0.7× 171 9.1k
Rogério Margis Brazil 42 3.3k 0.9× 3.5k 1.1× 182 0.1× 280 0.4× 257 0.5× 167 6.7k
Christina Kühn Germany 46 4.3k 1.2× 3.1k 1.0× 207 0.1× 291 0.4× 78 0.2× 246 10.3k

Countries citing papers authored by Jian‐Xiang Liu

Since Specialization
Citations

This map shows the geographic impact of Jian‐Xiang Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jian‐Xiang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian‐Xiang Liu more than expected).

Fields of papers citing papers by Jian‐Xiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Xiang Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jian‐Xiang Liu. The network helps show where Jian‐Xiang Liu may publish in the future.

Co-authorship network of co-authors of Jian‐Xiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Xiang Liu. A scholar is included among the top collaborators of Jian‐Xiang Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian‐Xiang Liu. Jian‐Xiang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Haiping, et al.. (2025). The NAT1–bHLH110–CER1/CER1L module regulates heat stress tolerance in rice. Nature Genetics. 57(2). 427–440. 15 indexed citations breakdown →
2.
Jing, Doudou, Xin Huang, Xuanzuo Chen, et al.. (2025). Transketolase promotes osteosarcoma progression through the YY1PAK4 axis. FEBS Journal. 292(7). 1798–1812.
3.
Wang, Yukang, Shuyan Song, Yijun Jin, et al.. (2024). A peroxisomal cinnamate:CoA ligase-dependent phytohormone metabolic cascade in submerged rice germination. Developmental Cell. 59(11). 1363–1378.e4. 17 indexed citations
4.
Liu, Ziteng, Tingting Sun, Jian‐Xiang Liu, Ning Liang, & Longshan Zhao. (2024). Natural deep eutectic solvent as a green extraction medium for the ultrasonic-assisted extraction of sinapine thiocyanate from black mustard seeds. Microchemical Journal. 201. 110549–110549. 7 indexed citations
5.
Liu, Jian‐Xiang, et al.. (2024). Rheology and yield stress evolution of highly flowable cementitious grouting materials: Mechanisms and modeling. Construction and Building Materials. 421. 135686–135686. 6 indexed citations
6.
Xiong, Xinwei, Jian‐Xiang Liu, & Yousheng Rao. (2023). Whole Genome Resequencing Helps Study Important Traits in Chickens. Genes. 14(6). 1198–1198. 11 indexed citations
7.
Li, Jinyu, Chuang Yang, Jiming Xu, Haiping Lu, & Jian‐Xiang Liu. (2022). The hot science in rice research: How rice plants cope with heat stress. Plant Cell & Environment. 46(4). 1087–1103. 61 indexed citations
8.
Lu, Haiping, Jian‐Pu Han, Xiaohao Guo, et al.. (2022). An ABA‐serotonin module regulates root suberization and salinity tolerance. New Phytologist. 236(3). 958–973. 26 indexed citations
9.
Song, Ze‐Ting, et al.. (2022). UBA domain protein SUF1 interacts with NatA‐complex subunit NAA15 to regulate thermotolerance in Arabidopsis. Journal of Integrative Plant Biology. 64(7). 1297–1302. 9 indexed citations
10.
Xiong, Xinwei, Min Zhou, Xuenong Zhu, et al.. (2022). RNA Sequencing of the Pituitary Gland and Association Analyses Reveal PRKG2 as a Candidate Gene for Growth and Carcass Traits in Chinese Ningdu Yellow Chickens. Frontiers in Veterinary Science. 9. 892024–892024. 6 indexed citations
11.
Tao, Qing, et al.. (2022). Unfolded protein response and storage product accumulation in rice grains. 1(1). 1–5. 8 indexed citations
12.
Zhang, Lin‐Lin, et al.. (2021). Timing to grow: roles of clock in thermomorphogenesis. Trends in Plant Science. 26(12). 1248–1257. 19 indexed citations
13.
Zhang, Lin‐Lin, et al.. (2021). XBAT31 regulates thermoresponsive hypocotyl growth through mediating degradation of the thermosensor ELF3 in Arabidopsis. Science Advances. 7(19). 51 indexed citations
14.
Zhu, Qiaoyun, et al.. (2021). Phosphoproteomic Analysis of Thermomorphogenic Responses in Arabidopsis. Frontiers in Plant Science. 12. 753148–753148. 3 indexed citations
16.
Sun, Ling, Liping Liu, Yazhen Wang, et al.. (2020). NAC103, a NAC family transcription factor, regulates ABA response during seed germination and seedling growth in Arabidopsis. Planta. 252(6). 95–95. 20 indexed citations
17.
Hu, Zejun, Sun‐Jie Lu, Mei-Jing Wang, et al.. (2018). A Novel QTL qTGW3 Encodes the GSK3/SHAGGY-Like Kinase OsGSK5/OsSK41 that Interacts with OsARF4 to Negatively Regulate Grain Size and Weight in Rice. Molecular Plant. 11(5). 736–749. 227 indexed citations
18.
Yang, Hongxing, Lan Ding, Ze‐Ting Song, et al.. (2017). Tissue-Specific Transcriptomics Reveals an Important Role of the Unfolded Protein Response in Maintaining Fertility upon Heat Stress in Arabidopsis. The Plant Cell. 29(5). 1007–1023. 133 indexed citations
19.
Liu, Jian‐Xiang & Stephen H. Howell. (2016). Managing the protein folding demands in the endoplasmic reticulum of plants. New Phytologist. 211(2). 418–428. 170 indexed citations
20.
Shang, Bing, et al.. (2011). Survey of radiation levels in an abnormally high radon hot spring. Zhonghua fangshe yixue yu fanghu zazhi. 31(6). 698–702. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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